Probability and Statistical Inference, Third Edition (Wiley Series in Probability and Statistics)

Niewiadomska-Bugaj, Magdalena; Bartoszynski, Robert

ISBN 10: 1119243807 / ISBN 13: 9781119243809

Published by Wiley-Interscience, 2020

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Bibliographic Details

• Title: Probability and Statistical Inference, Third Edition (Wiley Series in Probability and Statistics)
• Publisher: Wiley-Interscience
• Publication Date: 2020
• Language: English
• ISBN 10: 1119243807
• ISBN 13: 9781119243809
• Binding: Hardcover
• Edition: 3rd Edition
• Condition: New

About this title

Synopsis

Updated classic statistics text, with new problems and examples

Probability and Statistical Inference, Third Edition helps students grasp essential concepts of statistics and its probabilistic foundations. This book focuses on the development of intuition and understanding in the subject through a wealth of examples illustrating concepts, theorems, and methods. The reader will recognize and fully understand the why and not just the how behind the introduced material.

In this Third Edition, the reader will find a new chapter on Bayesian statistics, 70 new problems and an appendix with the supporting R code. This book is suitable for upper-level undergraduates or first-year graduate students studying statistics or related disciplines, such as mathematics or engineering. This Third Edition:

• Introduces an all-new chapter on Bayesian statistics and offers thorough explanations of advanced statistics and probability topics
• Includes 650 problems and over 400 examples - an excellent resource for the mathematical statistics class sequence in the increasingly popular "flipped classroom" format
• Offers students in statistics, mathematics, engineering and related fields a user-friendly resource
• Provides practicing professionals valuable insight into statistical tools

Probability and Statistical Inference offers a unique approach to problems that allows the reader to fully integrate the knowledge gained from the text, thus, enhancing a more complete and honest understanding of the topic.

About the Author

MAGDALENA NIEWIADOMSKA-BUGAJ, PHD, is Professor and Chair of the Statistics Department at Western Michigan University. Dr. Niewiadomska-Bugaj's areas of interest include general statistical methodology, nonparametric statistics, classification, and categorical data analysis. She has published over 50 papers, books, and book chapters in theoretical and applied statistics

The late ROBERT BARTOSZY�SKI, PHD, was Professor in the Department of Statistics at The Ohio State University. His scientific contributions included research in the theory of stochastic processes and modeling biological phenomena. Throughout his career, Dr Bartoszyński published books, book chapters, and over 100 journal articles.